Triple
T899404
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1 Samuel |
E19412
|
entity |
| Predicate | divisionReason |
P19352
|
FINISHED |
| Object | divided into two books in the Septuagint |
—
|
LITERAL FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: divided into two books in the Septuagint | Statement: [1 Samuel, divisionReason, divided into two books in the Septuagint]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: divisionReason Context triple: [1 Samuel, divisionReason, divided into two books in the Septuagint]
-
A.
reasonForSplit
chosen
Indicates the cause, motivation, or circumstance that led to a separation or breakup between entities.
-
B.
designationReason
Indicates the reason or justification for assigning a particular designation or status to an entity.
-
C.
divorceReason
Indicates the reason or cause for which a marriage ended in divorce between two individuals.
-
D.
divisionDefinedBy
Indicates that a division or partition is established or characterized according to a specified rule, criterion, or defining entity.
-
E.
selectionReason
Indicates the reason or justification for choosing or selecting one entity over alternatives.
- F. None of above.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69a4939e889c8190ac148b3ac1a7f90b |
completed | March 1, 2026, 7:29 p.m. |
| NER | Named-entity recognition | batch_69a4ad4162848190aa2787b2fa3e6575 |
completed | March 1, 2026, 9:18 p.m. |
| PD | Predicate disambiguation | batch_69a4aa979d408190b17ccfde132ea628 |
completed | March 1, 2026, 9:07 p.m. |
Created at: March 1, 2026, 7:39 p.m.